I build scalable backend systems and cloud platforms, and I work on autonomous systems, real-time perception, and applied computer vision.
I'm a software engineer with a strong focus on the .NET ecosystem, scalable cloud platforms, and distributed system design.
Alongside my engineering work, I'm pursuing a Ph.D. in autonomous systems, working on real-time perception pipelines, computer vision, sensor fusion, and simulation-driven development.
I enjoy bridging solid architecture with practical delivery, from early system design to production-ready implementation.
- Cloud-native backend systems in .NET
- Distributed architectures and event-driven services
- Microservices, resilience patterns, and scalable platform design
- Applied machine learning and real-time data processing
- Computer vision, ROS 2, PX4, and simulation workflows
- Scalable backend architecture in the .NET ecosystem
- Robust cloud platform design
- Real-time CV pipelines for autonomous systems
- Simulation and embedded deployment workflows
- Open source contributions and product-oriented engineering
A mix of backend engineering, cloud-native platform development, autonomous systems research, and practical ML projects.
Some areas I enjoy working in:
- distributed systems and service design
- resilient APIs and event-driven communication
- IoT and connected device platforms
- perception, tracking, and simulation
- developer tooling and clean delivery workflows
